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Há 2 dias

Criciúma, Brasil Bebeegenerative Tempo inteiro

About UsWe're an AI-powered research platform that streamlines the literature review process for researchers worldwide.Our system empowers PhD students to academic professionals, helping them transition from query to comprehensive reviews in minutes.The RoleWe seek a talented engineer to build semantic search pipelines, graph-based retrieval, and agentic systems.You'll design and deploy scalable APIs and services capable of serving hundreds of concurrent requests.You'll architect, implement, and productionize vector databases and embedding-based retrieval systems.Work on GenAI integrations including react agents, graph agents, prompt engineering, and LLM orchestration.You'll set up full-stack search engines from scratch that can handle real-world academic workloads.This role requires expertise in information retrieval, scalable backend systems, and generative AI.RequirementsStrong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.Skilled in Python for backend development with the ability to build scalable APIs and services.Past experience deploying systems at scale, including search engines, retrieval pipelines, or embedding models.Ability to design infrastructure that serves hundreds of concurrent requests.Experience setting up and hosting APIs with public access while balancing speed, cost, and reliability.A research-driven and pragmatic mindset with a focus on measurable outcomes.Bonus Points: Familiarity with cloud infrastructure, containerization, and DevOps practices will be highly valued.

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